A Bluetooth receiver is provided. The Bluetooth receiver comprises processing circuitry configured to receive a receive signal and to determine receive symbols based on the receive signal. The Bluetooth receiver further comprises control circuitry configured to determine a frequency offset and/or a modulation index of the receive signal based on the receive signal. The control circuitry is additionally configured to control an operation mode of the processing circuitry based on the determined frequency offset and/or the modulation index of the receive signal.

An apparatus for communication in a wireless communication network comprises a coder that encodes a set of data symbols to produce a set of coded symbols; a modulator that modulates the coded symbols onto a set of subcarrier frequencies to generate a time-domain signal comprising a sum of a set of modulated pulse waveforms; and a transmitter configured for transmitting the time-domain signal in the wireless communication network. The coder employs a matrix of spreading codes, wherein each column of the matrix multiplies a different one of the data symbols, which causes the modulator to produce a corresponding one of the set of modulated pulse waveforms. Each column of the matrix of spreading codes comprises a set of linearly increasing phases, which provides a time offset to the corresponding modulated pulse waveforms.

An apparatus for communication in a wireless communication network comprises a coder that encodes a set of data symbols to produce a set of coded symbols; a modulator that modulates the coded symbols onto a set of subcarrier frequencies to generate a time-domain signal comprising a sum of a set of modulated pulse waveforms; and a transmitter configured for transmitting the time-domain signal in the wireless communication network. The coder employs a matrix of spreading codes, wherein each column of the matrix multiplies a different one of the data symbols, which causes the modulator to produce a corresponding one of the set of modulated pulse waveforms. Each column of the matrix of spreading codes comprises a set of linearly increasing phases, which provides a time offset to the corresponding modulated pulse waveforms.

A symbol boundary detection method includes: calculating desired signal power according to a receiving signal by a receiver device; calculating interference power according to the receiving signal by the receiver device; calculating a signal-to-interference power ratio according to the desired signal power and the interference power by the receiver device; finding a best signal-to-interference power ratio to determine a reference symbol boundary time by the receiver device; and processing the receiving signal according to the reference symbol boundary time by the receiver device for a subsequent demodulation process performed by a demodulator circuit.

A symbol boundary detection method includes: calculating desired signal power according to a receiving signal by a receiver device; calculating interference power according to the receiving signal by the receiver device; calculating a signal-to-interference power ratio according to the desired signal power and the interference power by the receiver device; finding a best signal-to-interference power ratio to determine a reference symbol boundary time by the receiver device; and processing the receiving signal according to the reference symbol boundary time by the receiver device for a subsequent demodulation process performed by a demodulator circuit.

A band filter (100, 200) for filtering a discrete time series signal (110) is provided. The band filter (100, 200) includes an input frequency shifter (120, 220) configured to frequency down shift the discrete time series signal (110, 210) to provide a frequency down shifted discrete time series signal (120a, 220a), a regression based zero frequency centered band filter (130, 230) communicatively coupled to the input frequency shifter (120, 220), the regression based zero frequency centered band filter (130, 230) being configured to filter the frequency down shifted discrete time series signal (120a, 220a) to provide a filtered and frequency down shifted discrete time series signal (130a, 230a), and an output frequency shifter (140, 240) communicatively coupled to the regression based zero frequency centered band filter (130, 230), the output frequency shifter (140, 240) being configured to frequency up shift the filtered and frequency down shifted discrete time series signal (130a, 230a).

A band filter (100, 200) for filtering a discrete time series signal (110) is provided. The band filter (100, 200) includes an input frequency shifter (120, 220) configured to frequency down shift the discrete time series signal (110, 210) to provide a frequency down shifted discrete time series signal (120a, 220a), a regression based zero frequency centered band filter (130, 230) communicatively coupled to the input frequency shifter (120, 220), the regression based zero frequency centered band filter (130, 230) being configured to filter the frequency down shifted discrete time series signal (120a, 220a) to provide a filtered and frequency down shifted discrete time series signal (130a, 230a), and an output frequency shifter (140, 240) communicatively coupled to the regression based zero frequency centered band filter (130, 230), the output frequency shifter (140, 240) being configured to frequency up shift the filtered and frequency down shifted discrete time series signal (130a, 230a).

Applications of CI processing to ad-hoc and peer-to-peer networking significantly improve throughput, network capacity, range, power efficiency, and spectral efficiency. CI-based subscriber units perform network-control functions to optimize network performance relative to channel conditions, network loads, and subscriber services. CI codes are used to identify and address network transmissions. Channel characteristics of communication links are employed to encode, address, and authenticate network transmissions. CI transceivers used as relays and routers employ unique characteristics of transmission paths to code and decode network transmissions. A central processor is adapted to perform array processing with signals received from, and transmitted by, a plurality of subscriber units in a wireless network.

Applications of CI processing to ad-hoc and peer-to-peer networking significantly improve throughput, network capacity, range, power efficiency, and spectral efficiency. CI-based subscriber units perform network-control functions to optimize network performance relative to channel conditions, network loads, and subscriber services. CI codes are used to identify and address network transmissions. Channel characteristics of communication links are employed to encode, address, and authenticate network transmissions. CI transceivers used as relays and routers employ unique characteristics of transmission paths to code and decode network transmissions. A central processor is adapted to perform array processing with signals received from, and transmitted by, a plurality of subscriber units in a wireless network.

Method of demodulation of M-CPFSK signal, includes receiving the M-CPFSK radio signal; moving it to zero frequency; sampling at no less than double a frequency of symbols; storing the samples with their amplitude and phase for at least L4 symbols; demodulating the sampled signal in three stages, wherein each stage includes iterating over symbol values within a block of symbols, of length is L1, L2 and then L3; in the first stage, N1 symbol sequences out of all possible symbol sequences are iterated over, at the second stage, N2 symbol sequences out of all possible symbol sequences are iterated over, and at the third stage, N3 symbol sequences out of all possible symbol sequences are iterated over, to obtain final symbol values; symbol values obtained at previous stage is used in a next stage to reduce a number of symbol sequences; and determining encoded bits based on final symbol values.